code: def test_iterable_dataset_shard(self):
      dataset = RandomIterableDataset()
  
      self.check_iterable_dataset_shard(
          dataset, 4, drop_last=True, num_processes=2, epoch=0
      )
      self.check_iterable_dataset_shard(
          dataset, 4, drop_last=False, num_processes=2, epoch=0
      )
  
      self.check_iterable_dataset_shard(
          dataset, 4, drop_last=True, num_processes=3, epoch=42
      )
      self.check_iterable_dataset_shard(
          dataset, 4, drop_last=False, num_processes=3, epoch=42
      )
  
imports: import copy
  import unittest
  import numpy
  from transformers.data.data_collator import default_data_collator
  from transformers.testing_utils import require_accelerate, require_torch
  from transformers.trainer_utils import RemoveColumnsCollator, find_executable_batch_size
  from transformers.utils import is_torch_available
label_desc: Use image node_id 12 for calling the TrainerUtilsTest obj's underlying member method code with example usage: obj.test_iterable_dataset_shard() without return types